Cited by 193Quantum Computing Algorithms and ArchitectureQuantum Information and CryptographyQuantum-Dot Cellular Automata

Advantages of using relative-phase Toffoli gates with an application to multiple control Toffoli optimization

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Maslov, Dmitri·2016·Physical Review A

Abstract

Various implementations of the Toffoli gate up to a relative phase have been known for years. The advantage over the regular Toffoli gate is its smaller circuit size. However, its use has been often limited to a demonstration of quantum control in designs such as those where the Toffoli gate is being applied last or otherwise for some specific reasons the relative phase does not matter. It was commonly believed that the relative-phase deviations would prevent the relative-phase Toffoli gates from being very helpful in practical large-scale designs. In this paper, we report three circuit identities that provide the means for replacing certain configurations of the multiple control Toffoli gates with their simpler relative-phase implementations, up to a selectable unitary on certain qubits, and without changing the overall functionality. We illustrate the advantage via applying those identities to the optimization of the known circuits implementing multiple control Toffoli gates, and report the reductions in the controlled-not count, $T$count, as well as the number of ancillae used. We suggest that a further study of the relative-phase Toffoli implementations and their use may yield other optimizations.

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  • The AND operation can be implemented with only 3 CNOTs using a relative phase Toffoli implementation given by Qiskit's Margolus gate RCCX and a consecutive S†.

    “The AND can be implemented with only 3 CNOTs using a relative phase Toffoli implementation [36], [54] given by Qiskit's Margolus gate RCCX and a consecutive S † .”

    From High-Round QAOA for MAX $k$-SAT on Trapped Ion NISQ Devices (2023) · cites this paper as [36]

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Research works printed but not linked: 3

  1. [6]A. M. Childs, R. Cleve, E. Deotto, E. Farhi, S. Gutmann, and D. A. Spielman, Proc. 35th ACM STOC, 5968 (2003).
  2. [10]M. Amy, D. Maslov, and M. Mosca, IEEE Trans. CAD 33 (10), 1476-1489 (2014).
  3. [14]D. Maslov, G. W. Dueck, D. M. Miller, and C. Negrevergne, IEEE Trans. CAD 27 (3), 436-444 (2008).

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Authors
Maslov, D.
Affiliations
U.S. National Science Foundation (US)
Corresponding author
Maslov, Dmitri
Venue
Physical Review A
Published
2016-02-10
Volume
93
Issue
2
ISSN
  • 0556-2791 (ISSN-L)
  • 2469-9926
  • 2469-9934
OpenAlex
W1749786511
Cited by
193
References
11
Citations by year
2026: 17 · 2025: 19 · 2024: 28 · 2023: 23 · 2022: 30 · 2021: 23 · 2020: 17 · 2019: 12 · 2018: 8 · 2017: 10 · 2016: 5 · 2015: 1
FWCI
9.61
Type
journal article
Language
en
Open access
Locations
  • Physical Review A (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • arXiv (Cornell University)
Funders
National Science Foundation
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
  • Physical Sciences › Computer Science › Artificial Intelligence › Quantum Information and Cryptography
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Quantum-Dot Cellular Automata
Keywords
quantum circuit synthesis

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